AIMC Topic: Surveys and Questionnaires

Clear Filters Showing 901 to 910 of 1355 articles

Socially-Assistive Robots Using Empathy to Reduce Pain and Distress during Peripheral IV Placement in Children.

Pain research & management Apr 9, 2020
OBJECTIVES: Socially-assistive robots (SAR) have been used to reduce pain and distress in children in medical settings. Patients who perceive empathic treatment have increased satisfaction and improved outcomes. We sought to determine if an empathic ...
Child Pilot Projects Humans Robotics Female Surveys and Questionnaires Pain Male Child, Preschool Pain Management Administration, Intravenous Empathy
View on PubMed DOI

The views of physicians and nurses on the potentials of an electronic assessment system for recognizing the needs of patients in palliative care.

BMC palliative care Apr 4, 2020
OBJECTIVES: Patients in oncological and palliative care (PC) often have complex needs, which require a comprehensive treatment approach. The assessment of patient-reported outcomes (PROs) has been shown to improve identification of patient needs and ...
Humans Machine Learning Health Personnel Physicians Attitude of Health Personnel Interviews as Topic Germany Palliative Care Qualitative Research Surveys and Questionnaires Nurses Needs Assessment
View on PubMed DOI

Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling.

International journal of medical informatics Mar 31, 2020
BACKGROUND: Bipolar disorder (BD) is a chronic illness with a high recurrence rate. Smartphones can be a useful tool for detecting prodromal symptoms of episode recurrence (through real-time monitoring) and providing options for early intervention be...
Humans Smartphone Machine Learning Monitoring, Physiologic Data Analysis Male Algorithms Surveys and Questionnaires Female Bipolar Disorder
View on PubMed DOI

An Artificial Intelligence Approach to Proactively Inspire Drug Discovery with Recommendations.

Journal of medicinal chemistry Mar 30, 2020
Artificial intelligence (AI) is becoming established in drug discovery. For example, many in the industry are applying machine learning approaches to target discovery or to optimize compound synthesis. While our organization is certainly applying the...
Humans Artificial Intelligence Databases, Chemical Chemistry, Pharmaceutical Electronic Mail Drug Discovery Pharmaceutical Research Surveys and Questionnaires Research Personnel
View on PubMed DOI

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.

BMJ (Clinical research ed.) Mar 20, 2020
Machine learning, artificial intelligence, and other modern statistical methods are providing new opportunities to operationalise previously untapped and rapidly growing sources of data for patient benefit. Despite much promising research currently b...
Surveys and Questionnaires Data Collection Machine Learning Humans Algorithms Artificial Intelligence Reproducibility of Results
View on PubMed DOI

Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children.

Scientific reports Mar 19, 2020
Autism has become a pressing healthcare challenge. The instruments used to aid diagnosis are time and labor expensive and require trained clinicians to administer, leading to long wait times for at-risk children. We present a multi-modular, machine l...
Sensitivity and Specificity United States Male Humans Surveys and Questionnaires Machine Learning Diagnosis, Computer-Assisted Child, Preschool Autism Spectrum Disorder Child Female
View on PubMed DOI

A Survey on Deep Learning for Multimodal Data Fusion.

Neural computation Mar 18, 2020
With the wide deployments of heterogeneous networks, huge amounts of data with characteristics of high volume, high variety, high velocity, and high veracity are generated. These data, referred to multimodal big data, contain abundant intermodality a...
Deep Learning Surveys and Questionnaires Neural Networks, Computer Artificial Intelligence Algorithms
View on PubMed DOI

Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data.

Journal of medical Internet research Mar 17, 2020
BACKGROUND: Lung cancer is one of the most dangerous malignant tumors, with the fastest-growing morbidity and mortality, especially in the elderly. With a rapid growth of the elderly population in recent years, lung cancer prevention and control are ...
Risk Factors Aged Male Lung Neoplasms Internet Surveys and Questionnaires Incidence Neural Networks, Computer Databases, Factual Humans Female
View on PubMed DOI

Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

World neurosurgery Mar 14, 2020
BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.
Cross-Sectional Studies Attitude Male Patient Care Planning Neurosurgery Middle Aged Aged Adolescent Patients Aged, 80 and over Humans Postoperative Complications Image Processing, Computer-Assisted Family Young Adult Artificial Intelligence Adult Female Surveys and Questionnaires
View on PubMed DOI

Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities.

International journal of medical informatics Mar 6, 2020
BACKGROUND: Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platf...
Unified Medical Language System Consumer Health Information Search Engine Algorithms Delivery of Health Care Surveys and Questionnaires Information Storage and Retrieval Semantics Natural Language Processing Expert Systems Humans
View on PubMed DOI
Popular Topics
Recent Journals